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cerebrium.ai
WINTER 2022

cerebrium.ai

Moderate AI visibility with 29 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
54/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Direct Answer Paragraphs, and Fact & Data Density. Priority gaps: llms.txt File, Comprehensive FAQ Section, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
54/100
Projected
81/100
39Total Fixes
10Quick Wins
~79hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd ai.txt and content licensingEnhance author and expert schemaImprove query-answer alignmentAdd visible date signalsPackage evidence for AI enginesReduce extraction frictionImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce render-blocking resources
medium|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Establish a regular content publishing cadence with dated entries in your sitemap. Consistent publishing signals to AI engines that your site is an active, current information source.

Fix It With AI39

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Site Pages

www.cerebrium.ai/book-demoF26
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